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Computer Vision

1562 directly classified papers

Papers per year

Papers

Efficient Training of Visual Transformers with Small Datasets NIPS 2021
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning NIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games NIPS 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection NIPS 2021
Are Transformers more robust than CNNs? NIPS 2021
Interpretable agent communication from scratch (with a generic visual processor emerging on the side) NIPS 2021
Gauge Equivariant Transformer NIPS 2021
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks NIPS 2021
Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021
Deep Metric Learning with Graph Consistency AAAI 2021
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021
TDAF: Top-Down Attention Framework for Vision Tasks AAAI 2021
Efficient Certification of Spatial Robustness AAAI 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021
Visual Concept Reasoning Networks AAAI 2021
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs AAAI 2021
Explicitly Modeled Attention Maps for Image Classification AAAI 2021
Proxy Graph Matching with Proximal Matching Networks AAAI 2021
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract) AAAI 2021
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals CVPR 2021
Deep Implicit Templates for 3D Shape Representation CVPR 2021
Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021